
AI Infrastructure Expert
4 days ago
We are seeking a skilled and detail-oriented AI Integration Specialist to lead the deployment and integration of AI/ML models into production environments.
The successful candidate will be responsible for ensuring the scalability, reliability, and security of these models in various settings.
Key Responsibilities:- Deploy and integrate AI models: Collaborate with AI/ML teams to deploy machine learning models into applications and services.
- Design and implement APIs, SDKs, and microservices: Build seamless interfaces for AI model consumption.
- Maintain high availability, scalability, and security: Ensure optimal performance of AI services in production.
- Implement CI/CD pipelines, observability tools, and monitoring systems: Track and improve model performance.
- Automate workflows: Build automated pipelines for model retraining, versioning, and rollback.
- Optimize performance: Implement caching strategies, model compression, and other techniques to enhance inference speed and system efficiency.
- Work with cloud and hybrid infrastructure: Support AWS, GCP, or Azure environments and hybrid setups (cloud + on-prem).
- Collaborate cross-functionally: Partner with DevOps, software engineers, and product teams to integrate AI capabilities smoothly into products and services.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3 – 6 years of experience in software engineering, backend development, or MLOps.
- Strong proficiency in Python with experience using FastAPI, Flask, or Django.
- Experience integrating ML models with tools like TensorFlow Serving, TorchServe, ONNX, or custom model wrappers.
- Hands-on experience with Docker, Kubernetes, and container orchestration.
- Understanding of CI/CD pipelines, MLOps practices, and model lifecycle management.
- Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
- Excellent English communication skills – ability to work with cross-functional teams and present technical solutions clearly.
- Opportunity to work with cutting-edge AI technologies.
- Chance to collaborate with experienced professionals in the field.
- Flexible work environment with opportunities for growth and development.
Please submit your application, including your resume and a cover letter outlining your relevant experience and qualifications.
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